SEO Firecrawl

Firecrawl Extension for Codex SEO

Shared Data Cache

Step 0 -- Check shared data cache:

Before gathering, check .seo-cache/ for reusable context from related SEO skills. Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.

Check these cache files when present:

• .seo-cache/site-meta.json for domain, business type, industry, and crawl context

• .seo-cache/audit-scores.json for prior full-audit priorities

• .seo-cache/pages/{url-slug}/page-analysis.json for page-level context when a URL is provided

• If found: parse and use clearly valid fields (note "Using cached [X] from [date]")

• If missing, corrupt, or irrelevant: continue with fresh evidence

• If the user says "refresh" or "re-run": ignore cache reads and overwrite on write

This skill requires the Firecrawl extension to be installed:

./extensions/firecrawl/install.sh

Check availability: Before using any Firecrawl tool, verify the MCP server is connected by checking if firecrawl_scrape or any Firecrawl tool is available. If tools are not available, inform the user the extension is not installed and provide install instructions.

Quick Reference

Commands

crawl -- Full-Site Crawl

Crawl an entire website starting from the given URL. Returns page content, metadata, and links for all discovered pages.

MCP Tool: firecrawl_crawl

Parameters:

• url (required): Starting URL to crawl
• limit: Max pages to crawl (default: 100, max: 500)
• maxDepth: Max link depth from start URL (default: 3)
• includePaths: Array of glob patterns to include (e.g., ["/blog/*"])
• excludePaths: Array of glob patterns to exclude (e.g., ["/admin/*", "/api/*"])
• scrapeOptions.formats: Output formats -- ["markdown", "html", "links"]

SEO Usage Patterns:

1. Comprehensive audit crawl: Crawl full site, extract all pages for subagent analysis
2. Section-focused crawl: Use includePaths to audit only /blog/* or /products/*
3. Broken link detection: Crawl with ["links"] format, check all hrefs for 404s
4. Content inventory: Extract all page titles, meta descriptions, H1s at scale
5. SPA/JS-rendered sites: Firecrawl renders JavaScript, solving the Issue #11 problem

Example orchestration for /seo audit:

1. firecrawl_map(url) -> get all URLs (fast, no content)
2. Filter to top 50 most important pages (homepage, key sections)
3. firecrawl_crawl(url, limit=50) -> get full content
4. Feed content to seo-technical, seo-content, seo-schema agents

Cost awareness:

• Free tier: 500 credits/month
• 1 credit = 1 page crawled or scraped
• Map operations are cheaper (0.5 credits per URL discovered)
• Always inform user of estimated credit usage before large crawls

map -- Site Structure Discovery

Discover all URLs on a website without fetching content. Fast and credit-efficient.

MCP Tool: firecrawl_map

Parameters:

• url (required): Website URL to map
• limit: Max URLs to discover (default: 5000)
• search: Optional search term to filter URLs

SEO Usage Patterns:

1. Sitemap comparison: Map site, compare discovered URLs vs XML sitemap
2. Orphan page detection: URLs in sitemap but not linked from any page
3. Crawl budget analysis: Total indexable pages vs pages linked from homepage
4. URL pattern analysis: Identify URL structure patterns, duplicates, parameter bloat
5. Pre-audit discovery: Run map first, then targeted crawl on key sections

Output: Array of URLs. Present as:

Site: example.com
Pages discovered: 342

URL Pattern Breakdown:
  /blog/*          - 128 pages (37%)
  /products/*      - 89 pages (26%)
  /category/*      - 45 pages (13%)
  /pages/*         - 32 pages (9%)
  / (root pages)   - 48 pages (14%)

scrape -- Single-Page Deep Scrape

Scrape a single page with full JavaScript rendering. More thorough than fetch_page.py because it executes JS and waits for dynamic content.

MCP Tool: firecrawl_scrape

Parameters:

• url (required): Page URL to scrape
• formats: Output formats -- ["markdown", "html", "links", "screenshot"]
• onlyMainContent: Strip nav/footer/sidebar (default: true)
• waitFor: CSS selector or milliseconds to wait for content
• timeout: Request timeout in ms (default: 30000)
• actions: Browser actions before scraping (click, scroll, wait)

SEO Usage Patterns:

1. SPA content extraction: Scrape JS-rendered React/Vue/Angular pages
2. Dynamic content audit: Pages with lazy-loaded content below the fold
3. Paywall/login detection: Identify content behind authentication walls
4. Main content extraction: Use onlyMainContent for clean E-E-A-T analysis
5. Screenshot capture: Use screenshot format for visual analysis

When to use scrape vs fetch_page.py:

search -- Site-Scoped Search

Search within a website for specific content. Useful for finding pages related to a topic without crawling everything.

MCP Tool: firecrawl_search

Parameters:

• query (required): Search query
• url (required): Website to search within
• limit: Max results (default: 10)
• scrapeOptions.formats: Output format for matched pages

SEO Usage Patterns:

1. Content gap validation: Search for a keyword on the site to check if content exists
2. Internal linking opportunities: Find pages mentioning a topic that could link to each other
3. Duplicate content detection: Search for key phrases to find near-duplicates
4. Competitor content research: Search competitor site for specific topics

Cross-Skill Integration

With seo-audit (full audit)

When Firecrawl is available during /seo audit:

1. Use firecrawl_map to discover all site URLs
2. Compare with XML sitemap (seo-sitemap) to find orphan/missing pages
3. Select top pages for deep analysis
4. Feed crawled content to all subagents (technical, content, schema, geo)
5. Report total crawlable pages, URL patterns, and crawl depth

With seo-technical

• Broken link detection: crawl all internal links, check for 404s
• Redirect chain mapping: follow all redirects, flag chains > 2 hops
• Mixed content detection: check HTTP resources on HTTPS pages
• Canonical verification: compare canonical URLs with actual URLs

With seo-sitemap

• Sitemap coverage: % of crawled pages present in sitemap
• Orphan pages: pages found by crawl but missing from sitemap
• Stale sitemap entries: URLs in sitemap that return 404/410

With seo-content

• Content extraction: feed clean markdown to E-E-A-T analysis
• Thin content detection: identify pages with < 300 words at scale
• Duplicate content: compare content across pages for near-duplicates

With seo-schema

• Schema extraction: pull JSON-LD from all crawled pages
• Schema coverage: % of pages with structured data
• Schema validation: batch-validate extracted schemas

Error Handling

Graceful fallback: If Firecrawl is unavailable, inform the user and suggest:

1. Use fetch_page.py for single-page analysis (no API cost)
2. Use WebFetch tool for basic HTML retrieval
3. Install Firecrawl: ./extensions/firecrawl/install.sh

Write to shared data cache

After completing all work, write a concise JSON summary to .seo-cache/ when the workflow produced durable findings. Use the schemas and naming rules in ../seo/references/shared-data-cache.md; include at least cache_type, analyzed_at, source URL/domain, key findings, issues, recommendations, and tool limitations. Add .seo-cache/ to .gitignore if it is missing.